Correlations of pilot trainees' brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis
ObjectiveThis study aims to investigate the relationship between the subjective performance evaluations on pilot trainees' aircraft control abilities and their brainwave dynamics reflected in the results from EEG microstate analysis. Specifically, we seek to identify correlations between distin...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-03-01
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| Series: | Frontiers in Neuroergonomics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnrgo.2025.1472693/full |
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| author | Mengting Zhao Andrew Law Chang Su Sion Jennings Alain Bourgon Wenjun Jia Marie-Hélène Larose David Bowness Yong Zeng |
| author_facet | Mengting Zhao Andrew Law Chang Su Sion Jennings Alain Bourgon Wenjun Jia Marie-Hélène Larose David Bowness Yong Zeng |
| author_sort | Mengting Zhao |
| collection | DOAJ |
| description | ObjectiveThis study aims to investigate the relationship between the subjective performance evaluations on pilot trainees' aircraft control abilities and their brainwave dynamics reflected in the results from EEG microstate analysis. Specifically, we seek to identify correlations between distinct microstate patterns and each dimension included in the subjective flight control evaluations, shedding light on the neurophysiological mechanisms underlying aviation expertise and possible directions for future improvements in pilot training.BackgroundProficiency in aircraft control is crucial for aviation safety and modern aviation where pilots need to maneuver aircraft through an array of situations, ranging from routine takeoffs and landings to complex weather conditions and emergencies. However, the neurophysiological aspects of aviation expertise remain largely unexplored. This research bridges the gap by examining the relationship between pilot trainees' specific brainwave patterns and their subjective evaluations of flight control levels, offering insights into the cognitive underpinnings of pilot skill efficiency and development.MethodEEG microstate analysis was employed to examine the brainwave dynamics of pilot trainees while they performed aircraft control tasks under a flight simulator-based pilot training process. Trainees' control performance was evaluated by experienced instructors across five dimensions and their EEG data were analyzed to investigate the associations between the parameters of specific microstates with successful aircraft control.ResultsThe experimental results revealed significant associations between aircraft control levels and the parameters of distinct EEG microstates. Notably, these associations varied across control dimensions, highlighting the multifaceted nature of control proficiency. Noteworthy correlations included positive correlations between microstate class E and class G with aircraft control, emphasizing the role of attentional processes, perceptual integration, working memory, cognitive flexibility, decision-making, and executive control in aviation expertise. Conversely, negative correlations between microstate class C and class F with aircraft control indicated links between pilot trainees' cognitive control and their control performance on flight tasks.ConclusionThe findings underscore the multidimensional nature of aircraft control proficiency and emphasize the significance of attentional and cognitive processes in achieving aviation expertise. These neurophysiological markers offer a basis for designing targeted pilot training programs and interventions to enhance trainees' aircraft control skills. |
| format | Article |
| id | doaj-art-41fb9c142dcf4c899476eda32cfc1df2 |
| institution | DOAJ |
| issn | 2673-6195 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroergonomics |
| spelling | doaj-art-41fb9c142dcf4c899476eda32cfc1df22025-08-20T03:15:30ZengFrontiers Media S.A.Frontiers in Neuroergonomics2673-61952025-03-01610.3389/fnrgo.2025.14726931472693Correlations of pilot trainees' brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysisMengting Zhao0Andrew Law1Chang Su2Sion Jennings3Alain Bourgon4Wenjun Jia5Marie-Hélène Larose6David Bowness7Yong Zeng8Concordia Institute for Information Systems Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, QC, CanadaFlight Research Laboratory, Aerospace Research Centre, National Research Council of Canada, Ottawa, ON, CanadaConcordia Institute for Information Systems Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, QC, CanadaFlight Research Laboratory, Aerospace Research Centre, National Research Council of Canada, Ottawa, ON, CanadaCAE Inc., St-Laurent, QC, CanadaConcordia Institute for Information Systems Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, QC, CanadaMarinvent Corporation, St-Bruno, QC, CanadaCAE Inc., St-Laurent, QC, CanadaConcordia Institute for Information Systems Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, QC, CanadaObjectiveThis study aims to investigate the relationship between the subjective performance evaluations on pilot trainees' aircraft control abilities and their brainwave dynamics reflected in the results from EEG microstate analysis. Specifically, we seek to identify correlations between distinct microstate patterns and each dimension included in the subjective flight control evaluations, shedding light on the neurophysiological mechanisms underlying aviation expertise and possible directions for future improvements in pilot training.BackgroundProficiency in aircraft control is crucial for aviation safety and modern aviation where pilots need to maneuver aircraft through an array of situations, ranging from routine takeoffs and landings to complex weather conditions and emergencies. However, the neurophysiological aspects of aviation expertise remain largely unexplored. This research bridges the gap by examining the relationship between pilot trainees' specific brainwave patterns and their subjective evaluations of flight control levels, offering insights into the cognitive underpinnings of pilot skill efficiency and development.MethodEEG microstate analysis was employed to examine the brainwave dynamics of pilot trainees while they performed aircraft control tasks under a flight simulator-based pilot training process. Trainees' control performance was evaluated by experienced instructors across five dimensions and their EEG data were analyzed to investigate the associations between the parameters of specific microstates with successful aircraft control.ResultsThe experimental results revealed significant associations between aircraft control levels and the parameters of distinct EEG microstates. Notably, these associations varied across control dimensions, highlighting the multifaceted nature of control proficiency. Noteworthy correlations included positive correlations between microstate class E and class G with aircraft control, emphasizing the role of attentional processes, perceptual integration, working memory, cognitive flexibility, decision-making, and executive control in aviation expertise. Conversely, negative correlations between microstate class C and class F with aircraft control indicated links between pilot trainees' cognitive control and their control performance on flight tasks.ConclusionThe findings underscore the multidimensional nature of aircraft control proficiency and emphasize the significance of attentional and cognitive processes in achieving aviation expertise. These neurophysiological markers offer a basis for designing targeted pilot training programs and interventions to enhance trainees' aircraft control skills.https://www.frontiersin.org/articles/10.3389/fnrgo.2025.1472693/fullaircraft control evaluationsbrain dynamicsEEG microstate analysiscorrelation analysiscognitive functionspilot training |
| spellingShingle | Mengting Zhao Andrew Law Chang Su Sion Jennings Alain Bourgon Wenjun Jia Marie-Hélène Larose David Bowness Yong Zeng Correlations of pilot trainees' brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis Frontiers in Neuroergonomics aircraft control evaluations brain dynamics EEG microstate analysis correlation analysis cognitive functions pilot training |
| title | Correlations of pilot trainees' brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis |
| title_full | Correlations of pilot trainees' brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis |
| title_fullStr | Correlations of pilot trainees' brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis |
| title_full_unstemmed | Correlations of pilot trainees' brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis |
| title_short | Correlations of pilot trainees' brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis |
| title_sort | correlations of pilot trainees brainwave dynamics with subjective performance evaluations insights from eeg microstate analysis |
| topic | aircraft control evaluations brain dynamics EEG microstate analysis correlation analysis cognitive functions pilot training |
| url | https://www.frontiersin.org/articles/10.3389/fnrgo.2025.1472693/full |
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